Katherine C. Alexander , Jeremy D. Mackey , Charn P. McAllister , B. Parker Ellen III
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引用次数: 0
Abstract
The purpose of this paper is to revitalize the study and measurement of social desirability bias in the field so researchers can remedy the methodological ills it was originally meant to address. To improve scholars’ ability to mitigate these concerns, we conduct research that enables us to (1) generate a cohesive and parsimonious theoretical explanation of social desirability bias and (2) develop new measures of social desirability bias that will improve the field’s understanding of its effects. First, we utilize self-presentation theory to explain the differences between social desirability as a trait bias and socially desirable responding as a state bias under the larger social desirability bias umbrella construct. Then, we conduct a 13-sample measure development study to generate new content-valid measures of social desirability and socially desirable responding that can be used to improve the precision and nuance of business research knowledge generation moving forward.
期刊介绍:
The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.